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- ▌ Cf Plugin Legal Contracts · ricable bundleLegal contract analysis plugin with clause extraction, risk assessment, contract comparison, obligation tracking, and playbook matching. Use when extracting contract clauses, assessing contract risk, comparing contract versions, tracking obligations, or matching against legal playbooks.
- ▌ Cf Plugin Cognitive Kernel · ricable bundleCognitive kernel plugin for LLM augmentation with working memory, attention control, meta-cognition, and scaffolding. Use when managing agent working memory, controlling attention across long contexts, enabling self-reflective reasoning, or structuring complex multi-step cognitive tasks.
- ▌ Cf Plugin Code Intelligence · ricable bundleAdvanced code intelligence plugin with semantic search, architecture analysis, refactoring impact assessment, and module splitting. Use when searching code semantically, analyzing codebase architecture, assessing refactoring risk, splitting large modules, or learning code patterns.
- ▌ Cf Plugin Quantum Optimizer · ricable bundleQuantum-inspired optimization plugin with simulated annealing, QAOA, Grover search, dependency resolution, and schedule optimization. Use when solving combinatorial problems, optimizing task schedules, resolving complex dependency graphs, or finding optimal agent configurations.
- ▌ Cf Plugin Test Intelligence · ricable bundleAI-powered test intelligence plugin with predictive test selection, flaky test detection, and coverage optimization. Use when selecting which tests to run for a code change, detecting flaky tests, optimizing test coverage, or reducing CI pipeline time.
- ▌ Cf Plugin Healthcare Clinical · ricable bundleHIPAA-compliant clinical decision support plugin with patient similarity search, drug interaction detection, and clinical pathway recommendations. Use when building clinical decision support, checking drug interactions, finding similar patient cases, or recommending clinical pathways.
- ▌ Cf Plugin Neural Coordination · ricable bundleNeural coordination plugin for multi-agent swarm intelligence using SONA, GNN, and attention mechanisms. Use when optimizing swarm communication, coordinating agent behavior with neural routing, applying graph neural networks to agent topologies, or using attention-based consensus.
- ▌ Cf Plugin Hyperbolic Reasoning · ricable bundleHyperbolic reasoning plugin with Poincare ball embeddings, taxonomic reasoning, hierarchical search, and entailment graphs. Use when working with hierarchical data, taxonomy classification, ontology navigation, concept entailment, or tree-structured knowledge retrieval.
- ▌ Ruvector Tiny Dancer · ricable bundleFastGRNN neural router achieving 10us routing latency with circuit breaker, uncertainty estimation, and hot-reload. Use when implementing ultra-low-latency model selection, building AI agent orchestration with intelligent routing, or needing sub-millisecond routing decisions with built-in fault tolerance.
- ▌ Temporal Lead Solver · ricable bundleSublinear-time solver for diagonally dominant linear systems achieving temporal computational lead. Use when solving large sparse linear systems, performing fast matrix operations on diagonally dominant matrices, computing Laplacian solvers for graph problems, or needing near-linear time solutions for systems of equations.
- ▌ Claude Flow AI Defence · ricable bundleAI Manipulation Defense System (AIMDS) with prompt injection detection, jailbreak prevention, PII detection, and self-learning threat analysis. Use when defending against AI manipulation, detecting prompt injection, scanning for PII, or analyzing content safety.
- ▌ Claude Flow Providers · ricable bundleMulti-LLM provider system supporting Anthropic, OpenRouter, Gemini, ONNX, and custom providers with model routing and configuration. Use when configuring AI providers, switching models, managing API keys, or setting up multi-provider workflows.
- ▌ Ruvector Economy Wasm · ricable bundleCRDT-based autonomous credit economy for distributed compute networks compiled to WASM. Use when building token economies for multi-agent systems, implementing decentralized credit allocation, or managing CRDT-based counters and transfers across distributed nodes.
- ▌ Ruvector Postgres CLI · ricable bundlePostgreSQL AI vector database CLI with pgvector-compatible extension, 53+ SQL functions, HNSW/GNN/attention ops. Use when the user needs to manage PostgreSQL vector operations, install the RuVector extension, run vector/sparse/hyperbolic/graph/attention/GNN queries, benchmark PostgreSQL vector performance, or manage a PostgreSQL-backed AI database.
- ▌ Sublinear Time Solver · ricable bundleSublinear algorithms toolkit with PageRank, matrix sketching, approximate nearest neighbors, and streaming algorithms. Use when processing large-scale graphs, computing approximate PageRank, performing dimensionality reduction, running streaming statistical computations, or needing O(sqrt(n)) or O(log n) complexity algorithms.
- ▌ Claude Flow Deployment · ricable bundleDeployment management with environment configuration, rollback support, deployment history, and log viewing. Use when deploying to environments, rolling back releases, viewing deployment history, or managing deployment environments.
- ▌ Claude Flow Embeddings · ricable bundleVector embedding service with ONNX models, HNSW indexing, semantic search, hyperbolic embeddings, and neural substrate integration. Use when generating embeddings, performing semantic search, comparing text similarity, or managing embedding collections.
- ▌ Ruvector Agentic Synth · ricable bundleHigh-performance synthetic data generator for AI/ML training, RAG evaluation, and agentic workflow testing. Use when generating training datasets, creating test data for RAG pipelines, building evaluation benchmarks, or synthesizing realistic agent conversation data.
- ▌ Ruvector Burst Scaling · ricable bundleAdaptive burst scaling for RuVector that handles 10-50x traffic spikes with auto-provisioning and backpressure. Use when building systems that need to absorb sudden load increases, implementing auto-scaling for vector search, or adding circuit breakers and backpressure to services.
- ▌ Ruvector Learning Wasm · ricable bundleUltra-fast MicroLoRA weight adaptation in WASM with sub-100us latency for rank-2 LoRA. Use when fine-tuning models at the edge, adapting agent behavior in real-time, or running lightweight parameter-efficient training in browsers without GPU.
- ▌ Temporal Neural Solver · ricable bundleUltra-fast WASM neural inference engine with sub-microsecond latency for edge and browser deployments. Use when running neural network inference in WebAssembly, deploying models to edge devices, performing real-time prediction in browsers, or needing minimal-overhead inference for latency-critical applications.
- ▌ Claude Flow Integration · ricable bundleIntegration module for agentic-flow deep integration, cross-platform adapters, and ADR-001 compliance bridges. Use when integrating Claude Flow with external systems, building cross-platform adapters, or bridging agentic-flow capabilities.
- ▌ Claude Flow Performance · ricable bundlePerformance profiling, benchmarking, optimization recommendations, bottleneck detection, and metrics tracking. Use when benchmarking performance, profiling applications, identifying bottlenecks, or optimizing agent workflows.
- ▌ Ruvector Attention Wasm · ricable bundleWebAssembly attention mechanisms with SIMD-accelerated FlashAttention, MultiHeadAttention, and CrossAttention for browser and edge inference. Use when running attention computations in browsers, deploying transformer layers to edge devices, building client-side attention pipelines, or adding WASM-accelerated attention to web applications.
- ▌ Ruvector Spiking Neural · ricable bundleHigh-performance Spiking Neural Network engine with SIMD optimization, multiple neuron models, and STDP learning. Use when building neuromorphic computing applications, simulating brain-like networks, or running energy-efficient inference with spiking neurons.
- ▌ Ruvector Math Wasm Scoped · ricable bundleScoped WASM package for Optimal Transport, Information Geometry, and Product Manifold math under @ruvector namespace. Use when computing Wasserstein distances, Fisher information metrics, or Riemannian manifold operations in browser or Node.js with the scoped package.
- ▌ Claude Flow Teammate Plugin · ricable bundleNative TeammateTool integration plugin bridging Claude Code v2.1.19+ multi-agent capabilities with Claude Flow swarm coordination. Use when configuring teammate-based agent teams, bridging Claude Code native teams with Claude Flow, or setting up multi-agent collaboration.
- ▌ Prime Radiant Advanced Wasm · ricable bundleMathematical AI interpretability via Category Theory, Homotopy Type Theory, Spectral Analysis, Causal Inference, Quantum Topology, and Sheaf Cohomology in WebAssembly. Use when analyzing neural network interpretability in browsers, computing spectral properties of model layers, performing causal inference on AI decisions, or building mathematical AI auditing tools.
- ▌ Ruvector Attention Wasm Pkg · ricable bundleHigh-performance WASM attention mechanisms for transformers and LLMs - MultiHead, Flash, and Hyperbolic attention. Use when running transformer inference in browsers, adding attention layers to edge ML pipelines, or accelerating LLM token processing with WebAssembly.
- ▌ Ruvector Agentic Integration · ricable bundleDistributed agent coordination framework with shared vector memory, task routing, and claude-flow integration. Use when orchestrating multi-agent workflows with vector search, connecting AI agents to RuVector indexes, building agentic RAG pipelines, or dispatching tasks across agent pools with capability-based routing.
- ▌ Ruvector Nervous System Wasm · ricable bundleBio-inspired AI components in WASM: Hyperdimensional Computing, BTSP synaptic plasticity, and neuromorphic spiking networks. Use when building brain-inspired classifiers, implementing one-shot learning with HDC, or simulating spiking neural networks in browsers.
- ▌ Cf Plugin Agentic Qe · ricable bundleQuality engineering plugin with 51 specialized agents across 12 DDD bounded contexts for comprehensive testing and validation. Use when running quality engineering workflows, orchestrating test agent swarms, performing domain-driven quality analysis, or automating QA across bounded contexts.
- ▌ Ruvector Graph Data Generator · ricable bundleSynthetic graph data generator with configurable topology, density, and AI-powered property generation. Use when the user needs to generate test graph data, create synthetic social networks, benchmark graph databases, produce realistic knowledge graphs, or generate graph datasets for ML training.
- ▌ Ruvector Onnx Embeddings Wasm · ricable bundlePortable WASM embedding generation using ONNX Runtime with SIMD acceleration and parallel workers. Use when generating text embeddings in browsers without a server, running embedding models at the edge, or building offline-capable semantic search applications.
- ▌ Ruvector Attention Unified Wasm · ricable bundleUnified WASM bindings for 18+ attention mechanisms including DAG, Graph, Mamba SSM, Flash, and Sparse attention. Use when running diverse attention patterns in browsers, comparing attention architectures, or building custom transformer variants with mixed attention types.
- ▌ Cf Plugin Prime Radiant · ricable bundleMathematical AI interpretability plugin with sheaf cohomology, spectral analysis, causal inference, and quantum topology. Use when validating coherence across agent outputs, verifying consensus, detecting hallucinations, or analyzing mathematical structure of multi-agent reasoning.
- ▌ Cf Plugin Financial Risk · ricable bundleFinancial risk analysis plugin with portfolio risk scoring, anomaly detection, market regime classification, and compliance reporting. Use when scoring portfolio risk, detecting financial anomalies, classifying market regimes, generating compliance reports, or stress-testing portfolios.
- ▌ Cf Plugin Gastown Bridge · ricable bundleGas Town orchestrator integration with WASM-accelerated formula parsing, graph analysis, and Gas Town workflow orchestration. Use when parsing formulas with WASM acceleration, analyzing dependency graphs, orchestrating Gas Town workflows, or bridging Claude Flow with Gas Town systems.
- ▌ Cf Plugin Perf Optimizer · ricable bundleAI-powered performance optimization plugin with bottleneck detection, memory analysis, and configuration tuning. Use when profiling application performance, identifying bottlenecks, analyzing memory usage, tuning agent or system configurations, or optimizing resource allocation.
- ▌ Ruvector Edge Full · ricable bundleComplete WASM edge toolkit: vector search, graph DB, neural networks, DAG workflows, SQL/SPARQL/Cypher, ONNX inference. Use when the user needs an all-in-one edge AI runtime with vector search, graph queries, neural inference, task scheduling, or multi-query-language support in browser or edge environments.
- ▌ Ruvector Math Wasm · ricable bundleWebAssembly module for Optimal Transport, Information Geometry, and Product Manifold computations. Use when computing Wasserstein distances, Fisher metrics, or geodesics on statistical manifolds in browser or Node.js environments.
- ▌ Claude Flow Browser · ricable bundleBrowser automation for AI agents with Playwright integration, page snapshots, form filling, and navigation. Use when automating browser interactions, scraping web content, filling forms, or testing web applications from within agent workflows.
- ▌ Claude Flow Plugins · ricable bundlePlugin SDK with IPFS-based decentralized registry for installing, creating, and managing worker, hook, and provider plugins. Use when installing plugins, searching the registry, creating custom plugins, or managing plugin lifecycle.
- ▌ Claude Flow Testing · ricable bundleTesting framework with TDD London School methodology, mock services, test utilities, fixtures, and coverage tracking. Use when writing tests for Claude Flow modules, creating mock services, setting up test fixtures, or following TDD workflows.
- ▌ Ruvector Extensions · ricable bundleAdvanced extensions for RuVector: embedding generation, admin UI, data export, temporal versioning, and persistence adapters. Use when adding embedding pipelines, visualizing vector data, exporting indexes, or tracking vector changes over time.
- ▌ Ruvector Graph Node · ricable bundleNative Node.js graph database bindings with hypergraph support, Cypher queries, and persistence. Use when the user needs a graph database in Node.js, Cypher query execution, vertex/edge CRUD operations, graph traversals, shortest path algorithms, or hypergraph data modeling.
- ▌ Ruvector Graph Wasm · ricable bundleWASM graph database with Neo4j-inspired Cypher API for browser and edge runtimes. Use when the user needs a graph database in the browser, client-side Cypher queries, WASM-based graph traversals, edge-deployed knowledge graphs, or offline graph operations without server infrastructure.
- ▌ Ruvector Ruvllm CLI · ricable bundleCLI for local LLM inference with Metal/CUDA acceleration, model management, and benchmarking. Use when running local LLM inference, downloading and managing GGUF models, benchmarking inference performance, serving models via HTTP API, or comparing model outputs across different quantization levels.
- ▌ Claude Flow Guidance · ricable bundleGuidance Control Plane for compiling, retrieving, enforcing, and evolving CLAUDE.md rules with A/B testing and policy bundles. Use when compiling CLAUDE.md policies, retrieving task-relevant guidance, evaluating enforcement gates, or A/B testing behavioral rules.
- ▌ Claude Flow Security · ricable bundleSecurity scanning with CVE detection, threat modeling, audit logging, secrets detection, and AI manipulation defense. Use when running security scans, checking for CVEs, modeling threats, auditing compliance, or detecting secrets in code.
- ▌ Ruvector Exotic Wasm · ricable bundleExotic AI mechanisms for emergent behavior in WASM: Neural Autonomous Orgs, Morphogenetic Networks, and Time Crystals. Use when building self-organizing agent collectives, simulating biological growth patterns, or implementing temporal oscillation patterns in AI systems.
- ▌ Ruvector Replication · ricable bundleData replication with vector clocks, conflict resolution, and multi-node synchronization. Use when the user needs multi-node data replication, eventual consistency, vector clock conflict resolution, CRDTs, or distributed data synchronization across RuVector instances.
- ▌ Ruvector Ruvllm Wasm · ricable bundleWASM bindings for browser-based LLM inference with WebGPU acceleration, quantized model loading, and streaming generation. Use when running LLM inference in browsers, deploying language models to edge devices, building offline-capable AI chat, or adding client-side text generation to web applications.
- ▌ Ruvector Server · ricable bundleHTTP/gRPC server for RuVector with REST API, streaming, and authentication. Use when the user needs to deploy a vector database server, expose vector search over HTTP or gRPC, configure server authentication, manage collections via REST endpoints, or set up a production vector search service.
- ▌ Agentic Payments · ricable bundleAI commerce payment infrastructure with AP2 and ACP dual-protocol support for autonomous agent transactions. Use when building AI agent payment systems, implementing autonomous commerce workflows, authorizing agent-to-agent transactions, managing payment wallets, or integrating payment rails into agentic applications.
- ▌ Ruvector Cluster · ricable bundleDistributed clustering and auto-sharding for RuVector with Raft consensus, node discovery, and rebalancing. Use when building distributed vector databases, adding horizontal scaling to vector search, or coordinating multi-node RuVector deployments with automatic failover.
- ▌ Claude Flow Codex · ricable bundleOpenAI Codex CLI integration adapter for Claude Flow, enabling dual-platform initialization and Codex-compatible workflows. Use when initializing Claude Flow for Codex CLI, setting up dual Claude Code + Codex environments, or adapting workflows for the Codex platform.
- ▌ Claude Flow Hooks · ricable bundleEvent-driven lifecycle hooks with ReasoningBank learning, agent routing, pretraining, model routing, coverage analysis, and 12 background workers. Use when setting up self-learning workflows, routing tasks to agents, pretraining from repositories, or managing hook-based automation.
- ▌ Claude Flow Swarm · ricable bundleMulti-agent swarm coordination with 4 topologies, hive-mind consensus, scaling, and hierarchical mesh orchestration. Use when initializing swarms, coordinating multiple agents, managing hive-mind consensus, or scaling agent clusters.
- ▌ Neural Trader MCP · ricable bundleMCP server exposing 87+ neural trading tools for AI agent integration. Use when connecting trading capabilities to Claude or other AI agents via MCP, exposing market data and strategy tools through Model Context Protocol, or building agent-driven trading automation.
- ▌ Ruvector Core Pkg · ricable bundleHigh-performance HNSW vector database core built in Rust with N-API bindings - 50k+ inserts/sec, sub-ms search. Use when building vector search applications, adding nearest-neighbor indexing to Node.js projects, or needing a fast embedded vector store with metadata filtering.
- ▌ Ruvector Edge Net · ricable bundleDistributed compute network with WASM cryptographic security for edge AI coordination. Use when the user needs to build distributed peer-to-peer compute networks, coordinate edge AI nodes, implement secure mesh networking, or distribute workloads across browser and edge nodes.
- ▌ Ruvector Gnn Wasm · ricable bundleWebAssembly Graph Neural Network layers for browser and edge inference with GraphConv, GATLayer, SAGEConv, and GINConv. Use when running GNN inference in browsers, deploying graph models to edge devices, building client-side knowledge graph embeddings, or adding WASM-accelerated graph learning to web applications.
- ▌ Claude Flow Claims · ricable bundleClaims-based authorization with role management, policy enforcement, and permission control for agent workflows. Use when managing permissions, checking authorization, granting or revoking claims, or configuring role-based access control.
- ▌ Claude Flow Memory · ricable bundleMemory management with AgentDB unification, HNSW indexing, vector search, and hybrid SQLite+AgentDB backend. Use when storing, searching, or managing agent memory, configuring memory backends, or performing semantic search across knowledge bases.
- ▌ Claude Flow Neural · ricable bundleNeural pattern training with WASM SIMD acceleration, MoE routing, Flash Attention, and cognitive pattern learning. Use when training neural patterns, making predictions, optimizing models, or benchmarking WASM training performance.
- ▌ Claude Flow Shared · ricable bundleShared utilities providing common types, events, interfaces, and helper functions used across all Claude Flow modules. Use when importing shared types, event definitions, utility functions, or core interfaces for Claude Flow development.
- ▌ Neural Trader Core · ricable bundleUltra-low latency neural trading engine with Rust bindings for Node.js. Use when building algorithmic trading systems, implementing neural trading strategies, backtesting portfolio models, processing real-time market data feeds, or integrating quantitative finance into AI agent pipelines.
- ▌ Ruvector Attention · ricable bundleHigh-performance attention mechanisms for Node.js including MultiHeadAttention, FlashAttention, and CrossAttention. Use when implementing transformer-style attention layers, building custom attention pipelines, performing efficient large-context attention with Flash algorithm, or integrating attention into agent coordination.
- ▌ Ruvbot · ricable bundleSelf-learning AI assistant CLI with multi-channel deployment, agent swarms, and plugin system. Use when initializing or configuring a RuvBot instance, managing bot skills and plugins, deploying to Slack/Discord/Teams channels, running diagnostics, or orchestrating AI agent templates.
- ▌ Agentdb · ricable bundleRuVector-powered graph database CLI with Cypher queries, hyperedges, ACID persistence, and 150x faster vector search. Use when managing graph data stores, running Cypher queries, performing vector similarity search, managing database schemas, or building knowledge graphs for AI agents.
- ▌ Dspy TS · ricable bundleDSPy TypeScript framework with ChainOfThought, Predict, MIPROv2 optimizer, and multi-agent orchestration. Use when building programmatic LLM pipelines, composing prompt modules, optimizing prompt chains with MIPROv2, implementing structured LLM reasoning, or porting Python DSPy programs to TypeScript.
- ▌ Ruv Fann · ricable bundleFast Artificial Neural Network Library - FANN bindings for Node.js with network creation, training, and inference. Use when building neural networks with FANN, training models with backpropagation, running inference on trained networks, or integrating native FANN into Node.js pipelines.
- ▌ Ruvector · ricable bundleHigh-performance vector database for Node.js with native Rust NAPI and automatic WASM fallback. Use when the user needs to run vector similarity search, manage HNSW indexes, insert embeddings, or use the ruvector CLI for database operations, benchmarking, or ecosystem package management.
- ▌ Aidefence · ricable bundleAI Manipulation Defense System with prompt injection detection, adversarial input scanning, PII detection, and threat analysis. Use when protecting AI applications from prompt injection attacks, scanning inputs for manipulation, detecting PII in prompts, implementing security middleware for LLM pipelines, or hardening agent systems against adversarial inputs.
- ▌ Qudag CLI · ricable bundleQuantum-resistant DAG CLI for post-quantum cryptographic operations, DAG consensus, and secure distributed ledger management. Use when creating quantum-safe transactions, managing DAG-based consensus networks, generating post-quantum key pairs, verifying quantum-resistant signatures, or running DAG node operations.
- ▌ Ruv Swarm · ricable bundleNeural swarm orchestration with WebAssembly-accelerated agent coordination, topology management, and distributed task execution. Use when orchestrating multi-agent swarms, coordinating distributed AI workloads, managing swarm topologies (mesh, hierarchical, ring), running parallel agent tasks, or building self-organizing agent systems.
- ▌ Flow Nexus · ricable bundleGamified swarm intelligence platform with 70+ MCP tools, cloud sandboxes, challenges, and Queen Seraphina AI. Use when initializing Flow Nexus projects, managing AI agent swarms, deploying to cloud sandboxes, completing gamified challenges, browsing the app marketplace, or interacting with Seraphina for guided assistance.
- ▌ Claude Flow · ricable bundleEnterprise AI agent orchestration with 60+ agent types, swarm coordination, self-learning hooks, vector memory, and MCP integration. Use when initializing projects, managing agents, running swarms, or orchestrating multi-agent workflows with Claude Flow.
- ▌ Agentic Flow · ricable bundleAI agent orchestration platform with 66 specialized agents, MCP tool integration, multi-provider LLM support, and federation. Use when running AI agents with task descriptions, configuring MCP servers, managing agent federations, proxying Claude Code or Cursor, or spawning QUIC transport for low-latency agent communication.
- ▌ Create Sparc · ricable bundleSPARC methodology project scaffolding CLI with interactive wizards, MCP server configuration, and AIGI integration. Use when creating new SPARC-structured projects, adding components to existing projects, configuring MCP servers for AI tools, running the interactive setup wizard, or scaffolding minimal Roo mode frameworks.
- ▌ Ruvector CLI · ricable bundleRuVector CLI with self-learning hooks, HNSW vector search, and agent routing. Use when the user needs to manage vector databases from the command line, configure self-learning hooks, route tasks to agents, run benchmarks, or orchestrate RuVector operations via terminal commands.
- ▌ Ruvector Gnn · ricable bundleGraph Neural Network bindings for Node.js with GraphConv, GATLayer, and GNN pipeline support. Use when building graph-based ML models, performing node classification, link prediction, graph embedding, or integrating GNN layers into AI agent pipelines for RANO Optimization workloads.
- ▌ Neural Trader · ricable bundleNeural trading system CLI with native HNSW vector search, SIMD optimization, and 178 NAPI functions for algorithmic trading. Use when running neural trading strategies, backtesting with vector similarity, managing trading models, configuring market data feeds, or benchmarking HNSW search performance for financial data.
- ▌ Ruvector Core · ricable bundleHNSW vector indexing engine with 50k+ inserts/sec via Rust NAPI bindings. Use when the user needs to build high-performance vector search in Node.js, create HNSW indexes, perform batch vector operations, or integrate similarity search into backend applications.
- ▌ Ruvector Edge · ricable bundleEdge AI swarms for browsers with P2P networking, vector search, and neural networks. Use when the user needs browser-based AI swarms, peer-to-peer vector search, client-side neural network inference, decentralized agent coordination, or edge-deployed AI workloads without server infrastructure.
- ▌ Ruvector Node · ricable bundleRust vector database with native NAPI bindings for Node.js, SIMD-accelerated HNSW search, and zero-copy operations. Use when the user needs maximum vector search performance in Node.js, SIMD-optimized distance calculations, native Rust bindings, or low-latency similarity search in server-side applications.
- ▌ Ruvector Raft · ricable bundleRaft consensus for distributed coordination with leader election, log replication, and fault tolerance. Use when the user needs distributed consensus, leader election, replicated state machines, fault-tolerant coordination, or building distributed systems that require strong consistency guarantees.
- ▌ Ruvector Sona · ricable bundleSelf-Optimizing Neural Architecture with runtime-adaptive LoRA, EWC++ consolidation, and ReasoningBank. Use when building self-improving AI agents, implementing online learning, adapting models at runtime without retraining, or preventing catastrophic forgetting in continual learning systems.
- ▌ Ruvector Wasm · ricable bundleWebAssembly vector database bindings for browser and edge runtimes with HNSW search. Use when the user needs client-side vector search in the browser, edge-deployed similarity search, WASM-based embeddings, or portable vector operations without a server.
- ▌ Research Swarm · ricable bundleMulti-agent research swarm CLI with GOAP planning, HNSW vector search, AgentDB self-learning, and goal decomposition. Use when running multi-perspective research tasks, managing HNSW vector indexes, performing goal-based research with GOALIE decomposition, benchmarking ReasoningBank performance, or orchestrating parallel research swarms.
- ▌ Ruvector Rudag · ricable bundleFast DAG library with Rust/WASM for topological sort, critical path, task scheduling, and dependency resolution. Use when the user needs directed acyclic graph operations, topological sorting, critical path analysis, dependency resolution, task scheduling, or workflow DAG management.
- ▌ Agentic Jujutsu · ricable bundleAI agent coordination for Jujutsu VCS with quantum-ready architecture, QuantumDAG consensus, and AgentDB learning. Use when managing Jujutsu repositories with AI agents, resolving merge conflicts automatically, running AI-powered code reviews on jj changes, or coordinating multi-agent VCS workflows.
- ▌ Claude Flow CLI · ricable bundleClaude Flow CLI tool for enterprise AI agent orchestration - agents, swarms, memory, tasks, sessions, hooks, and MCP server management. Use when running claude-flow commands, spawning agents, managing swarms, or configuring the orchestration system.
- ▌ Claude Flow MCP · ricable bundleMCP (Model Context Protocol) server for Claude Flow - stdio/http/websocket transports, tool registry, connection pooling. Use when starting or managing the MCP server, listing tools, or integrating MCP into applications.
- ▌ Ruvector Router · ricable bundleSemantic router with HNSW SIMD-accelerated intent matching for AI agent task routing. Use when the user needs semantic intent routing, vector-based route matching, AI agent task dispatch, utterance classification, or building intent-based APIs with sub-millisecond routing decisions.
- ▌ Ruvector Ruvllm · ricable bundleSelf-learning LLM orchestration with SONA adaptive learning, HNSW memory, and FastGRNN routing. Use when orchestrating LLM calls across providers, implementing self-learning prompt pipelines, managing multi-model routing, or building adaptive AI agents with recursive retrieval and SIMD inference.
- ▌ Ruvector Rvlite · ricable bundleStandalone vector database with SQL, SPARQL, and Cypher query support powered by RuVector WASM. Use when the user needs a lightweight embedded vector database, multi-language query support (SQL/SPARQL/Cypher), standalone vector search without external dependencies, or a portable vector store for applications.
- ▌ Ruvector Scipix · ricable bundleOCR client for scientific documents - extracts LaTeX, MathML, and structured text from equations, papers, and technical diagrams. Use when parsing mathematical equations from images, extracting formulas from research PDFs, or converting scientific figures to structured data.
- ▌ Qudag · ricable bundleQuantum-resistant DAG platform with Dilithium/Kyber post-quantum cryptography and directed acyclic graph consensus. Use when building quantum-safe distributed systems, implementing post-quantum transaction signing, creating DAG-based ledgers, or securing communications against quantum computing threats.